Validation of a new mass screening tool for cognitive impairment: Cognitive Assessment for Dementia, iPad version

Onoda, Keiichi; Hamano, Tsuyoshi; Nabika, Yoko; Aoyama, Atsushi; Takayoshi, Hiroyuki; Nakagawa, Tsuguhiko; Ishihara, Masaki; Mitaki, Shingo; Yamaguchi, T; Oguro, Hiroaki; Shiwaku, Kuninori; Yamaguchi, Shûhei

doi:10.2147/cia.s42342

Cited by 65 publications

(51 citation statements)

References 8 publications

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“…The Shimane CoHRE study is a cohort study to examine the determinants of lifestyle-related diseases, including oral health, in rural areas in the southern part of Shimane prefecture, Japan [14,15,16,17,18]. The present study was conducted as a cross-sectional study of Shimane CoHRE study for which participants were recruited in 2016.…”

Section: Methodsmentioning

confidence: 99%

Is Accessibility to Dental Care Facilities in Rural Areas Associated with Number of Teeth in Elderly Residents?

Hamano

Takeda

Tominaga

et al. 2017

IJERPH

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Given that public transportation networks are less developed in rural than in urban areas, a lack of accessibility to dental care facilities could be a barrier to routine dental checkups. Thus, we hypothesized that the distance to the dental care facilities is a risk factor for tooth loss. The aim of this study was to test whether there is an association between the distance to dental care facilities, estimated by geographic information systems, and number of teeth, assessed by an oral examination, among elderly residents of a rural area in Japan. Data were collected in 2016 from a cross-sectional study conducted in Shimane prefecture, Japan. After excluding participants with missing data (n = 21), we analyzed data from 710 participants. Of them, 40.6% were male and the mean (standard deviation) age was 67.4 (7.4) years. Further, 68.0% (n = 483) had at least 20 teeth. We found that the distance to dental care facilities was significantly associated with the number of teeth (less than 20) (odds ratio = 1.07, 95% confidence interval = 1.01–1.12) after adjustment for potential confounders. This result suggested that individuals without easy access to dental care facilities may be important targets for dental care.

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Section: Methodsmentioning

confidence: 99%

Is Accessibility to Dental Care Facilities in Rural Areas Associated with Number of Teeth in Elderly Residents?

Hamano

Takeda

Tominaga

et al. 2017

IJERPH

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“…The CADi2 is a cognitive function test used as a primary screening tool during health checkups in local communities, and its reliability and validity have been verified [12]. This scale comprises 10 questions, and the subject is asked to answer each question with 0 or 1.…”

Section: Investigation/evaluationmentioning

confidence: 99%

“…The total score is 10, and higher scores are indicative of a higher level of cognitive functions. The CADi2 was found to have a significant high correlation with the Mini-Mental State Examination (MMSE), which is used to assess cognitive status (correlation coefficient: 0.79) [12]. The degree of relationship between individuals within the community was evaluated using the method employed in a previous study [5].…”

Section: Investigation/evaluationmentioning

confidence: 99%

Relationship between Social Capital and Cognitive Functions among Community-Based Elderly

Takechi¹,

Yoshimura²,

Oguma³

et al. 2017

AAD

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The concept of social capital encompasses all relationships and networks among people in a local community or society as a whole. It has been found to be associated with the health and daily living status of people. Furthermore, an association between social capital and cognitive functions among the elderly has been suggested in recent years. However, the number of such reports is very few. Hence, the present study aims to evaluate the relationship between social capital and cognitive functions among the elderly living in a local community in Japan. A questionnaire survey was administered to 192 elderly individuals belonging to 10 neighborhood elderly groups. A regression analysis was conducted to determine the relationship between cognitive functions and the level of engagement with the local community, after adjusting for age, gender, and symptoms of depression. Valid responses were collected from 145 participants (mean age: 75.3 years). An analysis of the data concerning the level of engagement with the local community revealed a significant difference in the cognitive function scores between the group of people who indicated that they had someone they could consult (n = 69) and the group that indicated they had no one to consult (n = 76) (regression coefficient: −0.61, p = 0.0038, 95% confidence interval: −1.02 to −0.20). This result indicates the existence of a significant correlation between social capital and cognitive functions of the elderly living in a local community. In future studies, we need to investigate the same with a larger number of participants from a wider geographical area, and by incorporating more indicators for a comprehensive evaluation of social capital.

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“…The dTMT is capable of outputting sensor data that may give deeper insights into certain aspects of cognition than paper-based tests. We build upon existing digital variants of the Trail Making Test [5, 6, 7, 8, 9] by including features such as detailed timing information, pauses, and lifts that are captured by utilizing a touchscreen interface. We then use these features in a machine learning based analysis.…”

Section: Introductionmentioning

confidence: 99%

An analysis of a digital variant of the Trail Making Test using machine learning techniques

Dahmen

Cook

Fellows

et al. 2017

THC

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BACKGROUND The goal of this work is to develop a digital version of a standard cognitive assessment, the Trail Making Test (TMT), and assess its utility. OBJECTIVE This paper introduces a novel digital version of the TMT and introduces a machine learning based approach to assess its capabilities. METHODS Using digital Trail Making Test (dTMT) data collected from (N=54) older adult participants as feature sets, we use machine learning techniques to analyze the utility of the dTMT and evaluate the insights provided by the digital features. RESULTS Predicted TMT scores correlate well with clinical digital test scores (r=0.98) and paper time to completion scores (r=0.65). Predicted TICS exhibited a small correlation with clinically-derived TICS scores (r=0.12 Part A, r=0.10 Part B). Predicted FAB scores exhibited a small correlation with clinically-derived FAB scores (r=0.13 Part A, r=0.29 for Part B). Digitally-derived features were also used to predict diagnosis (AUC of 0.65). CONCLUSION Our findings indicate that the dTMT is capable of measuring the same aspects of cognition as the paper-based TMT. Furthermore, the dTMT’s additional data may be able to help monitor other cognitive processes not captured by the paper-based TMT alone.

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Validation of a new mass screening tool for cognitive impairment: Cognitive Assessment for Dementia, iPad version

Cited by 65 publications

References 8 publications

Is Accessibility to Dental Care Facilities in Rural Areas Associated with Number of Teeth in Elderly Residents?

Is Accessibility to Dental Care Facilities in Rural Areas Associated with Number of Teeth in Elderly Residents?

Relationship between Social Capital and Cognitive Functions among Community-Based Elderly

An analysis of a digital variant of the Trail Making Test using machine learning techniques

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